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clem
/
friedeberg

Text-to-Image
Diffusers
StableDiffusionPipeline
Trained with AutoTrain
stable-diffusion
Model card Files Files and versions
xet
Community
1

Instructions to use clem/friedeberg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use clem/friedeberg with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("clem/friedeberg", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
friedeberg
5.16 GB
Ctrl+K
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History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
caa4ce8 over 3 years ago
  • feature_extractor
    Commit From AutoTrain over 3 years ago
  • scheduler
    Commit From AutoTrain over 3 years ago
  • text_encoder
    Commit From AutoTrain over 3 years ago
  • tokenizer
    Commit From AutoTrain over 3 years ago
  • unet
    Commit From AutoTrain over 3 years ago
  • vae
    Commit From AutoTrain over 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain over 3 years ago
  • README.md
    284 Bytes
    Commit From AutoTrain over 3 years ago
  • model_index.json
    543 Bytes
    Commit From AutoTrain over 3 years ago